Metrics and Models in Software Quality Engineering
Metrics and Models in Software Quality Engineering
Quantitative Evaluation of Capture-Recapture Models to Control Software Inspections
ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
Using multiple adaptive regression splines to support decision making in code inspections
Journal of Systems and Software - Special issue: Applications of statistics in software engineering
METRICS '05 Proceedings of the 11th IEEE International Software Metrics Symposium
A model and sensitivity analysis of the quality economics of defect-detection techniques
Proceedings of the 2006 international symposium on Software testing and analysis
Information and Software Technology
ISSRE '08 Proceedings of the 2008 19th International Symposium on Software Reliability Engineering
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2
A systematic mapping study on the combination of static and dynamic quality assurance techniques
Information and Software Technology
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Quality assurance (QA) plays a crucial role in today's software development. However, methods and models proposed in literature to support QA management suffer from several drawbacks. Many are specialized to certain activities like system test or inspections. They commonly support only one application purpose, e.g., planning or controlling, and are often applicable only after measurement data has been collected for several historical applications. To overcome these drawbacks, we developed a method that can be applied to QA activities during any phase, and which supports comprehensive quality management related tasks: improvement, planning, and controlling. To be applicable in practice, the method combines the available measurement data with expert judgment to build context-specific models. In addition, the method provides early benefits, while motivating the collection of measurement data by presenting possible improvement directions. The paper presents the general concepts behind the method and research questions to be answered in upcoming empirical studies.